class RecraftRemoveBackgroundNode:
"""
Remove background from image, and return processed image and mask.
"""
RETURN_TYPES = (IO.IMAGE, IO.MASK)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
},
"optional": {
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
auth_token=None,
**kwargs,
):
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path="/proxy/recraft/images/removeBackground",
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
# use alpha channel as masks, in B,H,W format
masks_tensor = images_tensor[:,:,:,-1:].squeeze(-1)
return (images_tensor, masks_tensor)
